CN116433132A

CN116433132A - Task processing method and device, computer readable storage medium and electronic equipment

Info

Publication number: CN116433132A
Application number: CN202111638764.XA
Authority: CN
Inventors: 杨建辉; 丁照新
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2021-12-29
Filing date: 2021-12-29
Publication date: 2023-07-14

Abstract

The disclosure relates to a task processing method and device, a computer readable storage medium and electronic equipment, and relates to the technical field of logistics, wherein the method comprises the following steps: acquiring an initial position point of a target user, and determining a navigation path of the target user according to the initial position point and a target task destination; acquiring a first position point of the target user through a preset time interval, and determining state information of the first position point according to the first position point and the navigation path; and processing the target task according to the state information of the first position point. The method and the device improve the processing efficiency of the target task.

Description

Task processing method and device, computer readable storage medium and electronic equipment

Technical Field

The embodiment of the disclosure relates to the technical field of logistics, in particular to a task processing method, a task processing device, a computer readable storage medium and electronic equipment.

Background

With the development of the mobile internet, in order to more facilitate our lives, the express industry has appeared to get the goods and deliver the goods.

At present, after a user reserves to get a piece through mobile equipment, an express delivery site receives the piece taking task and distributes the piece taking task to an express delivery person, the express delivery person sends the piece taking task to a specified destination according to reservation information, meanwhile, a manager of the express delivery site monitors the piece taking task manually, and when the express delivery person cannot reach the specified destination in time, the manager contacts the express delivery person and then redistributes the piece taking task.

However, in the processing method for overtime of the picking-up task, since a large amount of express data exists in the express station, a manager of the express station consumes a large amount of time and energy during monitoring, and the manual monitoring mode is low in efficiency, so that the processing efficiency of the picking-up task is reduced.

Accordingly, there is a need to provide a new task processing method.

It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

An object of the present disclosure is to provide a task processing method, a task processing device, a computer-readable storage medium, and an electronic apparatus, which further overcome, at least to some extent, the problem of low task processing efficiency due to limitations and drawbacks of the related art.

According to one aspect of the present disclosure, there is provided a task processing method including:

acquiring an initial position point of a target user, and determining a navigation path of the target user according to the initial position point and a target task destination;

acquiring a first position point of the target user through a preset time interval, and determining state information of the first position point according to the first position point and the navigation path;

and processing the target task according to the state information of the first position point.

In an exemplary embodiment of the present disclosure, after determining the navigation path of the target user, the task processing method further includes:

acquiring initial time corresponding to the initial position point, expected completion time of the target task and navigation path time of the target user;

obtaining the time of the target user reaching the target task destination according to the initial time and the navigation path time;

and when the time for the target user to reach the target task destination is determined to be longer than the navigation path time, not sending the prompt information to the target user.

In an exemplary embodiment of the present disclosure, before acquiring the initial location point of the target user, the task processing method further includes:

And establishing an association relationship between the target user and the target task.

In an exemplary embodiment of the present disclosure, determining status information of the first location point according to the first location point and the navigation path includes:

determining a path segment included in the navigation path, and an offset parameter of the path segment corresponding to the first position point based on the initial position point;

acquiring a first path track between the first position point and the initial position point, and determining an offset parameter of the first path track based on the initial position point;

determining state information of the first position point according to the offset parameter of the path segment corresponding to the first position point based on the initial position point and the offset parameter of the first path track based on the initial position point; the state information of the first position point is a normal position point or an abnormal position point.

In an exemplary embodiment of the present disclosure, after determining the state information of the first location point, the task processing method further includes:

updating the first position point of the target user through the preset time interval to obtain a second position point;

Acquiring a second path track between the second position point and the first position point, and determining a second offset parameter of the second path track based on the first position point;

and determining state information of the second position point based on a second offset parameter and the path segment based on the offset parameter of the initial position point.

acquiring a first navigation path from a first position point before updating to the target task place, and determining an offset parameter of the first navigation path based on the first position point;

and determining state information of the second position point based on the first navigation path and the offset parameter of the first position point.

In an exemplary embodiment of the present disclosure, processing the target task according to the state information of the first location point includes:

Acquiring a current position point of the target user, and the initial position point and position points included in the current position point;

determining the number of position points with abnormal positions included in the initial position point and the current position point;

acquiring a first abnormal position point nearest to the current position point and navigation path time from the first abnormal position point to the task destination;

and when the number of the abnormal position points is determined to be larger than a preset threshold value, and the time of reaching the target task destination by the target user is smaller than the expected completion time of the target task according to the navigation path time from the first abnormal position point to the task destination, sending abnormal prompt information to the target user.

In an exemplary embodiment of the present disclosure, processing the target task according to the state information of the first location point further includes:

and when the initial position point and the current position point are both normal position points, not sending prompt information to the target user.

When the number of the abnormal position points is determined to be larger than a preset threshold value, and according to the navigation path time from the first abnormal position point to the task destination, deleting the association relationship between the target user and the target task when the time for the target user to reach the target task destination is larger than the expected completion time of the target task;

and placing the target task in a task pool.

In an exemplary embodiment of the present disclosure, after the target task is placed in the task pool, the task processing method further includes:

when the target task does not establish the association relationship with the first target user within a preset time and the target user reaches the task destination, establishing the association relationship between the target user and the target task;

the target user completes the target task before determining that the target user completes the target task at a desired completion time for the target task.

According to an aspect of the present disclosure, there is provided a task processing device including:

the navigation path determining module is used for acquiring an initial position point of a target user and determining a navigation path of the target user according to the initial position point and a target task destination;

The state information determining module is used for acquiring a first position point of the target user through a preset time interval and determining state information of the first position point according to the first position point and the navigation path;

and the task processing module is used for processing the target task according to the state information of the first position point.

According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the task processing method according to any one of the above-described exemplary embodiments.

According to one aspect of the present disclosure, there is provided an electronic device including:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the task processing method according to any of the above-described exemplary embodiments via execution of the executable instructions.

According to the task processing method provided by the embodiment of the disclosure, on one hand, after a target user receives a target task, the current position of the target user is firstly obtained, the navigation path of the target user is determined according to the current position of the target user and the target task destination, the state information of any position point of the target user moving to the target task destination is determined according to the navigation path, and the task processing is determined according to the state information, so that the state information of any position point of the target user can be judged according to the navigation path without manual monitoring of task data by an express network manager, and the abnormal monitoring efficiency in the task processing process is improved; on the other hand, after the state information of the target user at the first position point is determined, the target task can be processed according to the state information, so that the target task processing efficiency is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.

Fig. 1 schematically illustrates a schematic diagram of a system architecture of an exemplary application environment to which a task processing method and apparatus of embodiments of the present disclosure may be applied.

Fig. 2 schematically illustrates a flow chart of a task processing method according to an example embodiment of the present disclosure.

Fig. 3 schematically illustrates a block diagram of a task processing system according to an example embodiment of the present disclosure.

Fig. 4 schematically illustrates a flow chart of a task processing method after determining a navigation path of a target user according to an example embodiment of the present disclosure.

Fig. 5 schematically illustrates a scenario in which a path navigation time from a current location of a target user to a target task destination is greater than a desired completion time of a target task according to an example embodiment of the present disclosure.

Fig. 6 schematically illustrates a method flow diagram for determining status information of a first location point from the first location point and a navigation path according to an example embodiment of the present disclosure.

Fig. 7 schematically illustrates a scenario in which state information of a first location point is determined according to an offset parameter of a navigation path and an offset parameter of a first path trajectory of a target user according to an exemplary embodiment of the present disclosure.

Fig. 8 schematically illustrates a flow chart of a task processing method after determining status information of a first location point according to an example embodiment of the present disclosure.

Fig. 9 schematically illustrates a method of determining status information of a second location point according to an offset parameter of a first navigation path and a second offset parameter according to an exemplary embodiment of the present disclosure.

Fig. 10 schematically illustrates a method flowchart for processing a target task according to status information of a first location point according to an example embodiment of the present disclosure.

Fig. 11 schematically illustrates a flowchart of a method of processing a target task according to state information of a first location point according to yet another exemplary embodiment of the present disclosure.

Fig. 12 schematically illustrates a scenario in which location points of a target user are all abnormal location points according to an exemplary embodiment of the present disclosure.

FIG. 13 schematically illustrates a flow chart of a method of task processing after placing a target task back into a task pool, according to an example embodiment of the present disclosure.

Fig. 14 schematically illustrates a flow chart of yet another task processing method according to an example embodiment of the present disclosure.

Fig. 15 schematically illustrates a block diagram of a task processing device according to an example embodiment of the present disclosure.

Fig. 16 schematically illustrates an electronic device for implementing the task processing method described above according to an exemplary embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

Along with the continuous progress of scientific technology, the development of the mobile internet has penetrated to the aspects of work and life of people, so that the daily behavior habit of people is changed, such as express delivery, express delivery receiving and the like, the prior express delivery needs to be delivered to an express delivery point, and then, a handwritten form is filled, but now, the people can wait for the express delivery person to get a piece after ordering through mobile equipment.

After the user reserves to get a piece through the mobile equipment, the express delivery site receives the piece taking task and distributes the piece taking task to an express delivery person, the express delivery person gets the piece to a specified destination according to reservation information, and meanwhile, when the express delivery person cannot timely reach the specified destination, the express delivery person is required to manually return the piece taking task to the express delivery site, or a manager of the express delivery site monitors the piece taking task manually, and when the express delivery person cannot timely reach the specified destination, the manager contacts the express delivery person and then redistributes the piece taking task. However, on one hand, the courier cannot respond to the picking task in time in the operation process, so that the picking task is frequently overtime; on the other hand, when the manager of the express delivery site monitors the picking-up task, the monitoring efficiency is lower because a large amount of express delivery data exist in the express delivery site.

In view of one or more of the foregoing problems, in this exemplary embodiment, a task processing method is provided first, and referring to fig. 1, fig. 1 is a schematic diagram illustrating a system architecture of an exemplary application environment to which the task processing method and apparatus according to the embodiments of the present disclosure may be applied.

As shown in fig. 1, the system architecture 100 may include one or more of

terminal devices

101, 102, a network 103, and a server 104. The network 103 serves as a medium for providing a communication link between the

terminal devices

101, 102 and the server 104. The network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others. The

terminal devices

101, 102 may be various handheld devices or applications with collection of target user location points. It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, the server 104 may be a server cluster formed of a plurality of servers.

The task processing methods provided by the embodiments of the present disclosure are generally executed by the

terminal devices

101, 102, and accordingly, the task processing devices are generally disposed in the

terminal devices

101, 102. However, it will be readily understood by those skilled in the art that the task processing method provided in the embodiment of the present disclosure may be executed by the server 104, and accordingly, the task processing device may also be disposed in the server 104, which is not limited in particular in the present exemplary embodiment. For example, in an exemplary embodiment, the

handheld devices

101 and 102 may include location points for collecting the target user, upload the location points of the target user and the target task destination to the server 104, and the server determines the state information of the target user at different location points through the task processing method provided by the embodiment of the present disclosure, and transmits the prompt information corresponding to the state information to the

terminal devices

101 and 102.

Fig. 2 shows a flow diagram of a task processing method, which, referring to fig. 2, may comprise the steps of:

s210, acquiring an initial position point of a target user, and determining a navigation path of the target user according to the initial position point and a target task destination;

s220, acquiring a first position point of the target user through a preset time interval, and determining state information of the first position point according to the first position point and the navigation path;

and S230, processing the target task according to the state information of the first position point.

According to the task processing method, on one hand, after the target user receives the target task, the current position of the target user is firstly obtained, the navigation path of the target user is determined according to the current position of the target user and the target task destination, the state information of any position point of the target user moving to the target task destination is determined according to the navigation path, and the task processing is determined according to the state information, so that the state information of the target user at any position point can be judged according to the navigation path without manual monitoring of the task data by an express network manager, and the abnormal monitoring efficiency in the task processing process is improved; on the other hand, after the state information of the target user at the first position point is determined, the target task can be processed according to the state information, so that the target task processing efficiency is improved.

Each step involved in the task processing method of the exemplary embodiment of the present disclosure is explained and explained in detail below.

First, application scenarios and purposes of the exemplary embodiments of the present disclosure are explained and explained. In particular, the exemplary embodiments of the present disclosure may be applied to the scenario of pick-up of an upper door for express delivery and pick-up of an upper door for delivery, the method mainly researches how to reduce overtime of picking or delivering, and improve picking or delivering efficiency.

In the method, the position point of the target user is obtained in real time, when the initial position point of the target user is obtained, a navigation path of the target user is generated according to the initial position point of the target user and the target task destination, whether the position point of the target user at any moment is an abnormal position point or not is determined based on the navigation path, when the number of the abnormal position points of the target user in the moving process is greater than a preset threshold value, abnormal prompt information is generated, and the information is sent to the target user, so that the target user moves to the target task destination according to the navigation path, the target task is completed, the abnormality of the target user is not required to be monitored manually, and the efficiency of completing the target task is improved.

Next, explanation and explanation will be made of a task processing system involved in an exemplary embodiment of the present disclosure. Referring to fig. 3, the task processing system may include a location acquisition module 310, a GIS (geographic information system ) system 320, a status confirmation module 330, and a target user information receiving module 340. The position acquisition module 310 is configured to acquire a position point of a target user at a preset time interval, send the acquired initial position point to the GIS system 320, and send the position point of the target user acquired at the preset time interval to the state confirmation module 330; the GIS system 320 is in network connection with the position acquisition module 310 and the state confirmation module 330, and is used for receiving the initial position of the target user sent by the position acquisition module 310, generating a navigation path according to the initial position of the target user and the target task destination, and sending the generated navigation path to the state confirmation module 330; the state confirmation module 330 is in network connection with the position acquisition module 310, the GIS system 320 and the target user information receiving module 340, and is used for determining the state information of the position point according to the received target user position point and the navigation path, generating abnormal prompt information when the number of the abnormal position points included in the state information is greater than a preset threshold value, and sending the abnormal prompt information to the target user information receiving module 340; the target user information receiving module 340 is connected to the state confirmation module 330 in a network, and is configured to receive the abnormal prompt information, and prompt the target user according to the abnormality, so that the target user moves to the target task destination to complete the target task.

Hereinafter, the steps S210 to S230 will be explained and described in detail with reference to fig. 3.

In step S210, an initial location point of a target user is obtained, and a navigation path of the target user is determined according to the initial location point and a target task destination.

The initial position point of the target user is the position point of the target user for receiving the target task; the destination of the target task is the position point of the target task; the navigation path from the initial location point to the target task destination may be generated by the GIS system, and the generated navigation path may be the path with the shortest distance, or may be the path with the shortest time consumption from the initial location point to the target task destination, which is not specifically limited in this example embodiment.

In this example embodiment, referring to fig. 4, after determining the navigation path of the target user, the task processing method may further include steps S410 to S430:

s410, acquiring initial time corresponding to the initial position point, expected completion time of the target task and navigation path time of the target user;

s420, obtaining the time of the target user to reach the target task destination according to the initial time and the navigation path time;

And S430, when the time for the target user to reach the target task destination is determined to be longer than the navigation path time, not sending the prompt information to the target user.

Hereinafter, step S410 to step S430 will be explained and explained. Specifically, after the navigation path from the initial position point of the target user to the destination of the target task is obtained, the initial time when the target user is located at the initial position point, that is, the time when the target task is allocated to the target user, the expected completion time of the target task, and the navigation path time corresponding to the navigation path may be obtained by the GIS system. After the initial time is obtained, the time for the target user to reach the target task destination can be obtained according to the initial time and the navigation path time, and when the time for the target user to reach the target task destination is greater than the expected completion time of the target task, the target user can be considered to complete the target task and be overtime, so that the target user is not subjected to subsequent calculation, and prompt information is not sent to the target user, wherein the subsequent calculation for the target user can include: and acquiring a navigation path to the target task corresponding to the position point of the target user according to the position point of the target user, and calculating the state information of the position point of the target user.

For example, referring to the schematic view of the scenario shown in fig. 5, the initial location point 501 of the target user, the target task destination 502 and the navigation path 503 are included, the initial time of the target user is 10:00, that is, the time allocated to the target user for the target task is 10:00, the path navigation time is 2 hours, and before the expected completion time of the target task is 12:00, when the target user starts from the initial location point 501, passes through the navigation path 503, and reaches the task destination 502, the time exceeds the expected completion time of the target task, therefore, no prompt is performed for the target user, and the navigation path corresponding to any location point when the target user is at any location point and the state information of any location point are not calculated.

In this example embodiment, before the initial location point of the target user is acquired, the task processing method further includes:

Specifically, the initial position of the target user is acquired only when the target task is allocated to the target user, so that an association relationship between the target user and the target task needs to be established before the initial position of the target user is acquired, wherein the association relationship indicates that the target task can only be completed by the target user with which the association relationship is established.

In step S220, a first location point of the target user is acquired at a preset time interval, and state information of the first location point is determined according to the first location point and the navigation path.

The preset time interval may be determined by the uploading condition of the location point of the handheld device of the target user, or may be determined by the flow consumption of the handheld device, or may be determined according to a historical time interval, where the preset time interval may be 1 minute or 3 minutes, and in this example embodiment, the preset time interval is not specifically limited.

In the present exemplary embodiment, referring to fig. 6, determining the state information of the first location point according to the first location point and the navigation path may include steps S610 to S630:

s610, determining a path segment included in the navigation path and an offset parameter of the path segment corresponding to the first position point based on the initial position point;

s620, acquiring a first path track between the first position point and the initial position point, and determining an offset parameter of the first path track based on the initial position point;

s630, determining state information of the first position point according to the offset parameter of the path segment corresponding to the first position point based on the initial position point and the offset parameter of the first path track based on the initial position point; the state information of the first position point is a normal position point or an abnormal position point.

Hereinafter, step S610 to step S630 will be explained and explained. Specifically, firstly, obtaining a path segment included in a navigation path, determining a path segment corresponding to an initial position point of a target user, and obtaining an offset parameter of the path segment corresponding to the initial position point based on the initial position point; then, determining a path track from an initial position point to a first position point of the target user according to the acquired first position point of the target user, and obtaining an offset parameter of the path track based on the initial position point; and comparing the offset parameter of the path segment corresponding to the initial position point based on the initial position point with the offset parameter of the path segment between the initial position point and the first position point based on the initial position point of the target user, so that the state information of the first position point can be determined. The offset parameter may be an offset angle or a slope, and in this exemplary embodiment, the offset parameter is not specifically limited.

For example, referring to the schematic view of the moving scene of the target user shown in fig. 7, the moving scene includes a target user initial position point 701, a target task destination 702, a target user first position point 703, a first path track 704, and a navigation path, wherein the navigation path includes 2 segments, namely a navigation path 705 and a navigation path 706, a path segment corresponding to the target user initial position point 701 is the navigation path 705, a rectangular coordinate system can be established based on the target user initial position point 701, an offset parameter of the navigation path 705 based on the target user initial position point is determined, and when the offset parameter is a slope, the slope of the navigation path 705 can be determined based on the position of the navigation path 705 in the coordinate axis; when the offset parameter is an offset angle, the offset angle between the first navigation path and the vertical axis may be calculated, if the offset angle in fig. 7 is 45 degrees, when the offset angle of the first path track 704 based on the initial position point of the target user is smaller than 45 degrees, the target user may be considered to be far away from the navigation path 705, and when the offset angle of the first path track 704 based on the initial position point of the target user is larger than 45 degrees, the target user may be considered to be near the navigation path 705, and in fig. 7, the offset angle of the first path track 704 may be obtained to be smaller than 45 degrees, so that the target user is offset from the first path track, and at this time, the state information of the first position point of the target user is an abnormal position point.

In the present exemplary embodiment, referring to fig. 8, after determining the state information of the first location point, the task processing method may further include steps S810 to S830:

s810, updating the first position point of the target user through the preset time interval to obtain a second position point;

s820, acquiring a second path track between the second position point and the first position point, and determining a second offset parameter of the second path track based on the first position point;

step s830 determines, based on a second offset parameter and a path segment corresponding to the second location point, state information of the second location point based on the offset parameter of the initial location point.

Hereinafter, step S810 to step S830 will be explained and explained. Specifically, in the process that the target user moves to the target task destination, the handheld device of the target user obtains the latest position point of the target user at intervals of preset time, after obtaining the second position point of the target user, the state information of the second position point can be judged, wherein the state information of the second position point can be judged by a method for judging the state information of the first position point, namely, a path track between the second position point and the first position point is obtained, the offset parameter of the path track between the second position point and the first position point is determined, the offset parameter of the path segment corresponding to the second position point and the offset parameter of the path segment corresponding to the second position point based on the initial position point are obtained, and finally, the path track between the second position point and the first position point is compared based on the offset parameter of the initial position point, so that the state information of the second position point is obtained.

In the present exemplary embodiment, in addition to the state information of the second location point being determined by the method of determining the state information of the first location point, the state information of the second location point may be determined by the method shown in fig. 9, and referring to fig. 9, steps S910 to S940 may be included:

s910, updating the first position point of the target user through the preset time interval to obtain a second position point;

s920, acquiring a first navigation path from a first position point before updating to the target task place, and determining an offset parameter of the first navigation path based on the first position point;

s930, acquiring a second path track between the second position point and the first position point, and determining a second offset parameter of the second path track based on the first position point;

step S940, determining state information of the second position point based on the first navigation path, the offset parameter of the first position point and the second offset parameter.

Hereinafter, the steps S910 to S940 will be explained and explained. Specifically, first, a second position point of a target user, a second path track between a first position point and the second position point and a first navigation path between the first position point and a task destination are obtained through a preset time interval; then, determining an offset parameter of the first navigation path based on the first position point, and an offset parameter of the second path track based on the first position point; finally, determining the state information of the second position point by comparing the offset parameter of the first navigation path based on the first position point with the offset parameter of the second path track based on the first position point.

Compared with the determining method shown in step S810-step S830, the accuracy of determining the state information of the second position point is improved by comparing the offset parameter of the first navigation path based on the first position point with the offset parameter of the second path track based on the first position point.

In step S230, a target task is processed according to the state information of the first location point.

In this example embodiment, processing the target task may include sending prompt information to the target user to move the target user to the target task destination to complete the target task, or may be that the target user has reached the target task destination and processing the target task.

In this exemplary embodiment, referring to fig. 10, processing the target task according to the state information of the first location point may include steps S1010 to S1030:

s1010, acquiring a current position point of the target user, and the initial position point and the position points included in the current position point;

s1020, determining the number of the initial position points and the position points with abnormal position points in the current position points;

S1030, acquiring a first abnormal position point closest to the current position point and navigation path time from the first abnormal position point to the task destination;

and S1040, when the number of the abnormal position points is determined to be larger than a preset threshold value, and according to the navigation path time from the first abnormal position point to the task destination, when the time for the target user to reach the target task destination is smaller than the expected completion time of the target task, abnormal prompt information is sent to the target user.

Hereinafter, step S1010 to step S1030 will be explained and explained. Specifically, before the target user arrives at the target task destination, firstly, the current position point of the target user and all the position points from the initial position point to the current position point can be obtained, and the number of abnormal position points of state information in the position points included in the current position point is determined; then, a first abnormal position point with the nearest state information from the current position point as an abnormal position point in the included position points and the navigation path time from the first abnormal position point to the target task destination are obtained; finally, when the number of the abnormal position points is larger than a preset threshold value, and the navigation path time from the first abnormal position point to the target task destination is passed, and when the time for the target user to reach the target task destination is smaller than the seventy thousand completion time of the target task, abnormal prompt information is sent to the target user; the preset threshold may be 3 or 5, and in this example embodiment, the preset threshold is not specifically limited.

In this example embodiment, the processing the target task according to the state information of the first location point further includes:

Specifically, when the target user moves to the target task destination, the state information of the position point of the target user, which is acquired through the preset time interval, is all the normal position point, which indicates that the target user moves according to the navigation path, and at this time, prompt information does not need to be sent to the target user.

In this exemplary embodiment, referring to fig. 11, the processing of the target task according to the state information of the first location point may further include step S1110 and step S1120:

step S1110, deleting the association relationship between the target user and the target task when the number of the abnormal position points is determined to be larger than a preset threshold value and the navigation path time from the first abnormal position point to the task destination is determined to be larger than the expected completion time of the target task;

step s1120, placing the target task in a task pool.

Hereinafter, step S1110 and step S1120 will be explained and described. Specifically, when it is determined that the number of abnormal position points between the current position point and the initial position point of the target user is greater than a preset threshold, and the time for the target user to reach the target task destination from the current position point is greater than the completion time of the target task according to the navigation path and the navigation path time between the first abnormal position point and the target task destination, deleting the association relationship between the target user and the target task, and then deleting the association relationship, wherein the target task is in a task pool, the task pool is an open platform task center, and platform personnel can acquire and complete tasks in the task pool through corresponding application software to acquire rewards.

Referring to fig. 12, taking a preset threshold value as an example of 3 in fig. 12, when the current position point of the target user is the position point 4, state information of the position point 1, the position point 2 and the position point 3 can be obtained as abnormal position points, the number of the abnormal position points exceeds the preset threshold value, the navigation path time from the position point 4 to the target task destination is 50 minutes, the current time is 11:20 when the target user is located at the position point 4, when the target user moves based on the navigation path from the position point 4 to the target task destination, the time to reach the target task destination is 12:10, and before the expected completion time of the target task is 12:00, the arrival time exceeds the expected completion time of the target task, so that the target task cannot be completed in time by the target user, and therefore, the target task can be put back into the task pool, so that other target users establish an association relationship with the target task and complete the task in time.

In the present exemplary embodiment, referring to fig. 13, after the target task is put back into the task pool, the task processing method may further include step S1310 and step S1320:

step S1310, when the target task does not establish the association relationship with the first target user within a preset time and the target user arrives at the task destination, establishing the association relationship between the target user and the target task;

step S1320, before determining that the time for the target user to complete the target task is before the expected completion time of the target task, the target user completes the target task.

Hereinafter, step S1310 and step S1320 will be explained and described. Specifically, when the target task is in the task pool within the preset time, when the target user reaches the target task destination, an association relationship with the target task can be established, after the association relationship is established, whether the time for the target user to complete the target task exceeds the expected completion time of the target task or not can be determined according to the time for the target user to complete the target task, when the time for the target user to complete the target task does not exceed the expected completion time of the target task, prompt information can be sent to the target user when the completion time exceeds the completion time of the target task.

The task processing method provided by the exemplary embodiment of the present disclosure has at least the following advantages: the GIS intelligent navigation technology is cited into a performance calculation link of the target task, and a model formed by factors such as distance, time, configuration, path track and the like is formed by calculating the navigation path between the position point of the target user and the destination of the target task and the navigation path time in real time and analyzing the data, so that the completion efficiency of the target task is improved.

The task processing method according to the exemplary embodiment of the present disclosure is further explained and illustrated below with reference to fig. 14. The task processing method may include:

step S1402, establishing an association relationship between a target user and a target task;

step S1404, acquiring an initial position point of a target user, a navigation path between a target task point and a target task destination and navigation path time when an association relation is established;

step S1406, judging whether the navigation path time from the initial position point to the target task destination is longer than the expected completion time of the target task;

step S1408, when yes, not sending prompt information to the target user, and completing the target task by the target user;

s1410, when not, acquiring the position point of the target user through a preset time interval;

Step S1412, determining the state information of the position point according to the offset parameter of the path track between the position point and the last position point and the offset parameter of the path segment of the navigation path corresponding to the position point, or according to the offset parameter of the path track between the position point and the last position point and the offset parameter of the navigation path between the position point value target task destinations on the position point;

s1414, when the state information is that the number of the position points of the abnormal position points is larger than a preset threshold value, acquiring a first abnormal position point closest to the current position point of the target user and a first navigation path time from the first abnormal position point to the target task destination;

s1416, judging whether the time for the target user to reach the target task is larger than the expected completion time of the target task based on the first navigation path time;

s1418, if not, sending abnormal prompt information to a target user;

s1420, deleting the association relationship between the target user and the target task if the target user is the target task;

s1422, when a target user arrives at a target task destination within a preset time and the target task does not establish an association relationship with any target user, establishing an association relationship between the target user and the target task;

Step S1424, when the time after the target user finishes the target task is smaller than the expected completion time of the target task, the target user finishes the target task;

step S1426, when the time after the target user finishes the target task is greater than the expected completion time of the target task, prompt information is sent to the target user.

The exemplary embodiment of the present disclosure further provides a task processing device, as shown in fig. 15, which may include: the navigation path determination module 1510, the status information determination module 1520, and the task processing module 1530. Wherein:

the navigation path determining module 1510 is configured to obtain an initial location point of a target user, and determine a navigation path of the target user according to the initial location point and a target task destination;

a state information determining module 1520, configured to obtain a first location point of the target user at a preset time interval, and determine state information of the first location point according to the first location point and the navigation path;

the task processing module 1530 is configured to process a target task according to the state information of the first location point.

The specific details of each module in the task processing device are described in detail in the corresponding task processing method, so that the details are not repeated here.

And placing the target task in a task pool.

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.

In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.

An electronic device 1600 according to such an embodiment of the present disclosure is described below with reference to fig. 16. The electronic device 1600 shown in fig. 16 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 16, the electronic device 1600 is embodied in the form of a general purpose computing device. The components of the electronic device 1600 may include, but are not limited to: the at least one processing unit 1610, the at least one memory unit 1620, a bus 1630 connecting the different system components (including the memory unit 1620 and the processing unit 1610), and a display unit 1640.

Wherein the storage unit stores program code that is executable by the processing unit 1610 such that the processing unit 1610 performs steps according to various exemplary embodiments of the present disclosure described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 1610 may perform step S110 as shown in fig. 2: acquiring an initial position point of a target user, and determining a navigation path of the target user according to the initial position point and a target task destination; s120: acquiring a first position point of the target user through a preset time interval, and determining state information of the first position point according to the first position point and the navigation path; s130: and processing the target task according to the state information of the first position point.

The memory unit 1620 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 16201 and/or cache memory 16202, and may further include Read Only Memory (ROM) 16203.

The storage unit 1620 may also include a program/utility 16204 having a set (at least one) of program modules 16205, such program modules 16205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Bus 1630 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.

Electronic device 1600 may also communicate with one or more external devices 1700 (e.g., keyboard, pointing device, bluetooth device, etc.), as well as with one or more devices that enable a user to interact with the electronic device 1600, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 1600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1650. Also, electronic device 1600 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through network adapter 1660. As shown, network adapter 1660 communicates with other modules of electronic device 1600 over bus 1630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 1600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.

A program product for implementing the above-described method according to an embodiment of the present disclosure may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. A method of task processing, comprising:

2. The task processing method according to claim 1, characterized in that after determining the navigation path of the target user, the task processing method further comprises:

3. The task processing method according to claim 1, characterized in that before acquiring the initial position point of the target user, the task processing method further comprises:

4. The task processing method according to claim 1, wherein determining the state information of the first location point from the first location point and the navigation path includes:

5. The task processing method according to claim 4, characterized in that after determining the state information of the first location point, the task processing method further comprises:

And determining state information of the second position point based on a second offset parameter and a path segment corresponding to the second position point based on the offset parameter of the initial position point.

6. The task processing method according to claim 4, characterized in that after determining the state information of the first location point, the task processing method further comprises:

7. A task processing method according to claim 3, wherein processing the target task based on the state information of the first location point includes:

8. The task processing method according to claim 7, wherein processing the target task based on the state information of the first location point, further comprises:

9. The task processing method according to claim 7, wherein processing the target task based on the state information of the first location point, further comprises:

and placing the target task in a task pool.

10. The task processing method according to claim 9, characterized in that after placing the target task in the task pool, the task processing method further comprises:

11. A task processing device, comprising:

12. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the task processing method of any one of claims 1-10.

13. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the task processing method of any of claims 1-10 via execution of the executable instructions.